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Exam1 Review Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2010 Computer Science at a Crossroads “Power wall” Triple hurdles of maximum power dissipation of air- cooled chips “ILP wall” Little instruction-level parallelism left to exploit efficiently “Memory wall” Almost unchanged memory latency Computer Science at a Crossroads Old Conventional Wisdom : Uniprocessor performance 2X / 1.5 yrs New Conventional Wisdom : Power Wall + ILP Wall + Memory Wall = Brick Wall Uniprocessor performance now 2X / 5(?) yrs Computer Science at a Crossroads 10000 ??%/year 1000 Performance (vs. VAX-11/780) 52%/year 100 10 25%/year 1 1978 1980 1982 1984 1986 1988 1990 1992 1994 1996 1998 2000 2002 2004 2006 Defining Computer Architecture The task of computer designer: Determine what attributes are important for a new computer, then design a computer to maximize performance while staying within cost, power, and availability constrains Defining Computer Architecture In the past, the term computer architecture often referred only to instruction set design Other aspects of computer design were called implementation, often assuming that implementation is uninteresting or less challenging Of course, it is wrong for today’s trend Architect’s job much more than instruction set design; technical hurdles today more challenging than those in instruction set design Instruction Set Architecture (ISA) The instruction set architecture serves as the boundary between the software and hardware. We will have a complete introduction to this part. (Some examples in the next two slides) Outline Decoder Encoder MUX 2-to-4 Decoder Decoder Expansion How about 4-16 decoder Use how many 3-8 decoder? Use how many 2-4 decoder? Encoders Perform the inverse operation of a decoder 2 (or less) input lines and n output n lines Encoders Priority Encoder Accepts multiple values and encodes them Works when more than one input is active Consists of: Inputs (2 ) n Outputs when more than one output is active, sets output to correspond to highest input V (indicates whether any of the inputs are active) Selectors / Enable (active high or active low) 4 to 1 line multiplexer 4 to 1 line multiplexer 2n MUX to 1 S1 S0 F 0 0 I0 n for this MUX is 2 0 1 I1 This means 2 1 0 I2 1 1 I3 selection lines s0 and s1 Outline Data Representation Compliments Conversion Between Number Bases Octal(base 8) Decimal(base 10) Binary(base 2) Hexadecimal (base16) ° We normally convert to base 10 because we are naturally used to the decimal number system. ° We can also convert to other number systems Example Convert 101011110110011 to a. octal number b. hexadecimal number a. Each 3 bits are converted to octal : (101) (011) (110) (110) (011) 5 3 6 6 3 101011110110011 = (53663)8 b. Each 4 bits are converted to hexadecimal: (0101) (0111) (1011) (0011) 5 7 B 3 101011110110011 = (57B3)16 Conversion from binary to hexadecimal is similar except that the bits divided into groups of four. Subtraction using addition • Conventional addition (using carry) is easily • implemented in digital computers. • However; subtraction by borrowing is difficult and inefficient for digital computers. • Much more efficient to implement subtraction using ADDITION OF the COMPLEMENTS of numbers. Complements of numbers (r-1 )’s Complement •Given a number N in base r having n digits, •the (r- 1)’s complement of N is defined as (rn - 1) - N •For decimal numbers the base or r = 10 and r- 1= 9, 9 9 9 9 9 •so the 9’s complement of N is (10n-1)-N - Digit n Digit n-1 Next digit Next digit First digit •99999……. - N l’s complement For binary numbers, r = 2 and r — 1 = 1, r-1’s complement is the l’s complement. The l’s complement of N is (2^n- 1) - N. Bit n-1 Bit n-2 ……. Bit 1 Bit 0 1 1 1 1 1 - Digit n Digit n-1 Next digit Next digit First digit r’s Complement •Given a number N in base r having n digits, •the r’s complement of N is defined as rn - N. •For decimal numbers the base or r = 10, 1 0 0 0 0 0 •so the 10’s complement of N is 10n-N. - Digit n Digit n-1 Next digit Next digit First digit •100000……. - N 10’s complement Examples Find the 10’s complement of 546700 and 12389 1 0 0 0 0 0 0 The 10’s complement of 546700 - 5 4 6 7 0 0 is 1000000 - 546700= 453300 4 5 3 3 0 0 and the 10’s complement of 12389 is 1 0 0 0 0 0 100000 - 12389 = 87611. - 1 2 3 8 9 Notice that it is the same as 9’s 8 7 6 1 1 complement + 1. 2’s complement For binary numbers, r = 2, r’s complement is the 2’s complement. The 2’s complement of N is 2n - N. 1 0 0 0 0 0 - Digit n Digit n-1 Next digit Next digit First digit Subtraction of Unsigned Numbers using r’s complement (1) if M N, ignore the carry without taking complement of sum. (2) if M < N, take the r’s complement of sum and place negative sign in front of sum. The answer is negative. Subtract by Summation Subtraction with complement is done with binary numbers in a similar way. Using two binary numbers X=1010100 and Y=1000011 We perform X-Y and Y-X X-Y X= 1010100 2’s com. of Y= 0111101 Sum= 10010001 Answer= 0010001 Y-X Y= 1000011 2’s com. of X= 0101100 Sum= 1101111 There’s no end carry: answer is negative --- 0010001 (2’s complement of 1101111) How To Represent Signed Numbers Plus and minus signs used for decimal numbers: 25 (or +25), -16, etc. For computers, it is desirable to represent everything as bits. Three types of signed binary number representations: 1. signed magnitude, 2. 1’s complement, and 3. 2’s complement 1. signed magnitude • In each case: left-most bit indicates sign: positive (0) or negative (1). Consider 1. signed magnitude: 000011002 = 1210 100011002 = -1210 Sign bit Magnitude Sign bit Magnitude 2. One’s Complement Representation The one’s complement of a binary number involves inverting all bits. • To find negative of 1’s complement number take the 1’s complement of whole number including the sign bit. 000011002 = 1210 111100112 = -1210 Sign bit Magnitude Sign bit 1’complement 3. Two’s Complement Representation • The two’s complement of a binary number involves inverting all bits and adding 1. To find the negative of a signed number take the 2’s the 2’s complement of the positive number including the sign bit. 000011002 = 1210 111101002 = -1210 Sign bit Magnitude Sign bit 2’s complement Sign addition in 2’s complement The rule for addition is add the two numbers, including their sign bits, and discard any carry out of the sign (leftmost) bit position. Numerical examples for addition are shown below. Example: +6 00000110 - 6 11111010 +13 00001101 +13 00001101 +19 00010011 +7 00000111 +6 00000110 -6 11111010 -13 11110011 -13 11110011 -7 11111001 -19 11101101 In each of the four cases, the operation performed is always addition, including the sign bits. Only one rule for addition, no separate treatment of subtraction. Negative numbers are always represented in 2’s complement. Overflow Overflow example: +70 0 1000110 -70 1 0111010 +80 0 1010000 -80 1 0110000 = +150 1 0010110 =-150 0 1101010 An overflow may occur if the two numbers added are both either positive or negative. BINARY ADDER-SUBTRACTOR Example Extend the previous logic circuit to accommodate XNOR, NAND, NOR, and the complement of the second input. S2 S1 S0 Output Operation 0 0 0 XY AND 0 0 1 XY OR 0 1 0 XY XOR 0 1 1 A Complement A 1 0 0 (X Y) NAND 1 0 1 (X Y) NOR 1 1 0 (X Y) XNOR 1 1 1 B Complement B Shift Microoperations Symbolic designation Description R ← shl R Shift-left register R R ← shr R Shift-right register R R ← cil R Circular shift-left register R R ← cir R Circular shift-right register R R ← ashl R Arithmetic shift-left R R ← ashr R Arithmetic shift-right R TABLE 4-7. Shift Microoperations Logical Shift Example 1. Logical shift: Transfers 0 through the serial input. R1 shl R1 Logical shift-left R2 shr R2 Logical shift-right (Example) Logical shift-left 10100011 01000110 (Example) Logical shift-right 10100011 01010001 Circular Shift Example Circular shift-left R1 cil R1 Circular shift-right R 2 cir R 2 (Example) Circular shift-left 10100011 is shifted to 01000111 (Example) Circular shift-right 10100011 is shifted to 11010001 Arithmetic Shift Right Arithmetic Shift Right : Example 1 0100 (4) 0010 (2) Example 2 1010 (-6) 1101 (-3) Arithmetic Shift Left Arithmetic Shift Left : Example 1 0010 (2) 0100 (4) Example 2 1110 (-2) 1100 (-4) Arithmetic Shift Left : Example 3 0100 (4) 1000 (overflow) Example 4 1010 (-6) 0100 (overflow)

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